High-speed 3D shape measurement using Fourier transform and stereo vision

BackgroundIn the fast 3D shape measurement, it is an important factor to use the least number of fringe patterns to get the wrapped phase and the wrapped phase is always required to be retrieved to absolute phase. But the process of phase unwrapping may affect the quality of absolute phase. Besides absolute phase retrieval is time-costing especially for high-speed 3D shape measurement.MethodsThis paper proposes a fast measurement method based on Fourier transform profilometry and stereo vision. Because of the property of stereo vision, every point can find its corresponding point in the wrapped phase. This method can reconstruct 3D surface without phase unwrapping. In order to further increase the measurement speed and overcome the gamma effect of projector, the dithering fringe pattern is used. To resist false matching, the original image matching constraint gives a rough parallax. Phase matching and sub-pixel parallax optimization are used to reduce the matching errors. In order to confirm the phase value of points which are at the edge of wrapped phase, average phase value is calculated.ResultsA white mask is measured based on the proposed method. The results from every step show the effect of different functions. To better show the effect of the proposed method, a white house is measured and the measurement is compared with LSSM and MFH. In order to further to show the advantage of the proposed method, discontinuous blocks and continuous blocks are measured. The average height, RMS, average error, maximum error are compared with the method which uses absolute phase to match the corresponding points. Experiment results verify the feasibility of the proposed method and it can measure complex objects with high speed and accuracy.ConclusionThis paper uses Fourier transform and stereo vision to get wrapped phase and reconstruct 3D shape without phase unwrapping. The proposed method contains three part: phase matching, edge points detection and sub-pixel parallax optimization. By comparing matching precision, the proposed method can get high quality surface. Because the process of measurement only need one frame of deformed fringe pattern to get the wrapped phase and the matching process does not need phase unwrapping, the proposed method has the potential to be used in fast measurement.

[1]  Song Zhang,et al.  Pixel-by-pixel absolute three-dimensional shape measurement with modified Fourier transform profilometry , 2017 .

[2]  Andreas Geiger,et al.  Efficient Large-Scale Stereo Matching , 2010, ACCV.

[3]  Qian Chen,et al.  Dynamic microscopic 3D shape measurement based on marker-embedded Fourier transform profilometry. , 2018, Applied optics.

[4]  Yi Zhou,et al.  Topography Measurement of Large-Range Microstructures through Advanced Fourier-Transform Method and Phase Stitching in Scanning Broadband Light Interferometry , 2017, Micromachines.

[5]  Junfei Dai,et al.  Absolute three-dimensional shape measurement with a known object. , 2017, Optics express.

[6]  Song Zhang,et al.  Comparative study on passive and active projector nonlinear gamma calibration , 2015 .

[7]  Yan Zhang,et al.  Data preprocessing methods for robust Fourier ptychographic microscopy , 2017, Optical Engineering.

[8]  Ting Wang,et al.  Advanced method of global phase shift estimation from two linear carrier interferograms , 2018, Journal of the European Optical Society-Rapid Publications.

[9]  Hui Lin,et al.  Three-dimensional shape measurement technique for shiny surfaces by adaptive pixel-wise projection intensity adjustment , 2017 .

[10]  Yue Liu,et al.  Three-Dimensional Shape Measurements of Specular Objects Using Phase-Measuring Deflectometry , 2017, Sensors.

[11]  Zhongwei Li,et al.  Accurate calibration method for a structured light system , 2008 .

[12]  Shijie Feng,et al.  Optimal wavelength selection strategy in temporal phase unwrapping with projection distance minimization. , 2018, Applied optics.

[13]  Sushil K. Kaura,et al.  Interferometric moire pattern encoded security holograms , 2006 .

[14]  Song Zhang,et al.  High-resolution, real-time to superfast 3D imaging techniques , 2016, 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).

[15]  Sam Van der Jeught,et al.  Real-time structured light profilometry: a review , 2016 .

[16]  Qican Zhang,et al.  Dynamic 3-D shape measurement method: A review , 2010 .

[17]  Youfu Li,et al.  High-quality binary fringe generation via joint optimization on intensity and phase , 2017 .

[18]  Min Young Kim,et al.  Three-dimensional sensing methodology combining stereo vision and phase-measuring profilometry based on dynamic programming , 2017 .

[19]  Feng Lu,et al.  Three-dimensional measurement of object surface by using ellipse binary defocusing projection , 2017 .

[20]  Tongjing Zhu,et al.  Phase error analysis and compensation considering ambient light for phase measuring profilometry , 2014 .

[21]  Zonghua Zhang,et al.  Review of single-shot 3D shape measurement by phase calculation-based fringe projection techniques , 2012 .

[22]  Xiang Peng,et al.  Suppression of projector distortion in phase-measuring profilometry by projecting adaptive fringe patterns. , 2016, Optics express.